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Spiral unique sequence: A new rotation invariant feature for small-size image block matching

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4 Author(s)
Mohammad Akbarpour Sekeh ; Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, Skudai, 81310, Johor, Malaysia ; Mohd. Aizaini Maarof ; Mohd. Foad Rohani ; Malihe Motiei

Matching features of all image overlapping blocks is a common method to explore duplicated regions. In this way, the block size should be small in order to detect small forgery regions. The problem is how to extract a robust feature for small block size against rotation and compression. In this paper, a new spatial domain feature for block size 8×8 pixels namely Spiral Unique Sequence (SUS) is proposed. The experimental results and SUS feature matching demonstrate that this feature is robust against rotation and compression.

Published in:

Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on

Date of Conference:

16-18 Nov. 2011